Inhaled Maintenance Therapy in the Follow-Up of COPD in Outpatient Respiratory Clinics. Factors Related to Inhaled Corticosteroid Use. EPOCONSUL 2021 Audit

Abstract

Objective: The aim of this analysis was to describe the patterns of inhaled maintenance therapy according to risk level and to explore the determinants associated with the decision to prescribe inhaled corticosteroids (ICS) in addition to bronchodilator therapy according to risk level as strategy in the follow-up of COPD in daily clinical practice.

Methods: EPOCONSUL 2021 is a cross-sectional audit that evaluated the outpatient care provided to patients with a diagnosis of chronic obstructive pulmonary disease (COPD) in respiratory clinics in Spain with prospective recruitment between April 15, 2021 and January 31, 2022.

Results: 4225 patients from 45 hospitals in Spain were audited. Risk levels were analyzed in 2678 patients. 74.5% of patients were classified as high risk and 25.5% as low risk according to GesEPOC criteria. Factors associated with the prescription of ICS in low-risk COPD were symptoms suggestive of asthma [OR: 6.70 (3.14-14.29), p<0.001], peripheral blood eosinophilia>300mm3 [OR: 2.16 (1.10-4.24), p=0.025], and having a predicted FEV1%<80% [OR: 2.17 (1.15-4.08), p=0.016]. In high-risk COPD, factors associated with triple therapy versus dual bronchodilator therapy were a mMRC dyspnea score of ≥2 [OR: 1.97 (1.41-2.75), p<0.001], symptoms suggestive of asthma [OR: 6.70 (3.14-14.29), p<0.001], and a predicted FEV1%<50% [OR: 3.09 (1.29-7.41), p<0.011].

Conclusions: Inhaled therapy in the follow-up of COPD does not always conform to the current guidelines. Few changes in inhaled therapy are made at follow-up visits. The use of ICS is common in COPD patients who meet low-risk criteria in their follow-up and triple therapy in high-risk COPD patients is used as an escalation strategy in patients with high clinical impact. However, a history of exacerbations and eosinophil count in peripheral blood were not factors predicting triple therapy.